Background: Structural alignment is an important step in protein comparison. Well-established methods exist for solving this problem under the assumption that the structures under...
Roberto Mosca, Barbara Brannetti, Thomas R. Schnei...
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither party reveals anything about their private sequence to the other party (other t...
Mikhail J. Atallah, Florian Kerschbaum, Wenliang D...
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...